Claude-skill-registry code-metrics-analyzer

Calculate code quality metrics - complexity, coverage, maintainability

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/code-metrics-analyzer" ~/.claude/skills/majiayu000-claude-skill-registry-code-metrics-analyzer && rm -rf "$T"
manifest: skills/data/code-metrics-analyzer/SKILL.md
source content

Code Metrics Analyzer

Measure code quality through various metrics.

Capabilities

  • Calculate cyclomatic complexity
  • Measure code coverage
  • Analyze lines of code (LOC)
  • Count methods/functions per file
  • Measure comment density
  • Identify complex methods
  • Track metrics over time
  • Generate quality reports
  • Find refactoring candidates

Tools

code_metrics.py
- Calculate various code metrics

Metrics Calculated

  • Cyclomatic Complexity - Decision point count
  • Cognitive Complexity - Mental effort to understand
  • LOC - Lines of code (total, code, comments, blank)
  • Method Count - Methods per class/file
  • Depth of Inheritance - Class hierarchy depth
  • Comment Ratio - Comments vs code
  • Test Coverage - Percentage tested

Commands

# Analyze project
./code_metrics.py analyze --source-dir PaleoRose

# Find complex methods
./code_metrics.py complex --threshold 10

# Generate report
./code_metrics.py report --format html

Output

Code Metrics Summary
====================
Total Files: 104
Total LOC: 15,234
Average Complexity: 4.2

Most Complex Files:
1. XRoseTableController.m (complexity: 28)
2. InMemoryStore.swift (complexity: 22)
3. DocumentModel.swift (complexity: 18)

Refactoring Candidates:
- XRoseTableController.configureController (complexity: 15)
- InMemoryStore.readFromStore (complexity: 12)